Jérémy E. Cohen

571 total citations
21 papers, 232 citations indexed

About

Jérémy E. Cohen is a scholar working on Computational Mathematics, Signal Processing and Computational Mechanics. According to data from OpenAlex, Jérémy E. Cohen has authored 21 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mathematics, 8 papers in Signal Processing and 5 papers in Computational Mechanics. Recurrent topics in Jérémy E. Cohen's work include Tensor decomposition and applications (11 papers), Blind Source Separation Techniques (8 papers) and Sparse and Compressive Sensing Techniques (4 papers). Jérémy E. Cohen is often cited by papers focused on Tensor decomposition and applications (11 papers), Blind Source Separation Techniques (8 papers) and Sparse and Compressive Sensing Techniques (4 papers). Jérémy E. Cohen collaborates with scholars based in France, Belgium and Norway. Jérémy E. Cohen's co-authors include Pierre Comon, Jocelyn Chanussot, Miguel A. Veganzones, Nicolas Gillis, Evrim Acar, Xavier Luciani, Vince D. Calhoun, Rasmus Bro, Tülay Adalı and Richard H. Vollmerhausen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Signal Processing and Human Reproduction.

In The Last Decade

Jérémy E. Cohen

20 papers receiving 229 citations

Peers

Jérémy E. Cohen

CM

MT

CVPR

SP

Charilaos I. Kanatsoulis United States

Yuning Qiu China

Longxi Chen China

Gui‐Fu Lu China

J.-C. Pesquet France

Vassilis Kalofolias Switzerland

Barbara Penna Italy

François Malgouyres France

Hiuk Jae Shim South Korea

Ching-Min Cheng Taiwan

Charilaos I. Kanatsoulis United States

Jérémy E. Cohen

66 ×0.5

CM

80 ×1.3

CM

163 ×3.0

MT

177 ×3.3

CVPR

35 ×0.9

SP

Citations per year, relative to Jérémy E. Cohen Jérémy E. Cohen (= 1×) peers Charilaos I. Kanatsoulis

Countries citing papers authored by Jérémy E. Cohen

Since Specialization

Citations

This map shows the geographic impact of Jérémy E. Cohen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jérémy E. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérémy E. Cohen more than expected).

Fields of papers citing papers by Jérémy E. Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jérémy E. Cohen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jérémy E. Cohen. The network helps show where Jérémy E. Cohen may publish in the future.

Co-authorship network of co-authors of Jérémy E. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Jérémy E. Cohen. A scholar is included among the top collaborators of Jérémy E. Cohen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérémy E. Cohen. Jérémy E. Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Cohen, Jérémy E., et al.. (2024). Joint Reconstruction and Spectral Unmixing from Single-Pixel Acquisitions. 661–665. 1 indexed citations

2.

Cohen, Jérémy E.. (2023). Algorithms, Conspiracies, and Cosmologies. 5(1). 148–156.

3.

Cohen, Jérémy E., Michaël Sdika, F. Schneider, et al.. (2023). A priori free spectral unmixing with periodic absorbance changes: application for auto-calibrated intraoperative functional brain mapping. Biomedical Optics Express. 15(1). 387–387. 2 indexed citations

4.

Calhoun, Vince D., et al.. (2022). An AO-ADMM Approach to Constraining PARAFAC2 on All Modes. SIAM Journal on Mathematics of Data Science. 4(3). 1191–1222. 15 indexed citations

5.

Cohen, Jérémy E., et al.. (2022). Matrix-wise $$\ell _0$$-constrained sparse nonnegative least squares. Machine Learning. 111(12). 4453–4495. 1 indexed citations

6.

Cohen, Jérémy E., et al.. (2020). A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings. IEEE Journal of Selected Topics in Signal Processing. 15(3). 506–521. 18 indexed citations

7.

Cohen, Jérémy E., et al.. (2020). An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization. 985–989. 5 indexed citations

8.

Cohen, Jérémy E., et al.. (2020). Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. HAL (Le Centre pour la Communication Scientifique Directe). 16. 3147–3151. 3 indexed citations

9.

Gillis, Nicolas, et al.. (2020). Exact Sparse Nonnegative Least Squares. SPIRE - Sciences Po Institutional REpository. abs 1009 4219. 5395–5399. 3 indexed citations

10.

Cohen, Jérémy E. & Nicolas Gillis. (2019). Nonnegative Low-rank Sparse Component Analysis. HAL (Le Centre pour la Communication Scientifique Directe). 5. 8226–8230. 3 indexed citations

11.

Cohen, Jérémy E. & Nicolas Gillis. (2018). Identifiability of Low-Rank Sparse Component Analysis.. arXiv (Cornell University). 1 indexed citations

12.

Cohen, Jérémy E. & Nicolas Gillis. (2017). Spectral Unmixing With Multiple Dictionaries. IEEE Geoscience and Remote Sensing Letters. 15(2). 187–191. 6 indexed citations

13.

Cohen, Jérémy E. & Nicolas Gillis. (2017). Dictionary-Based Tensor Canonical Polyadic Decomposition. IEEE Transactions on Signal Processing. 66(7). 1876–1889. 8 indexed citations

14.

Cohen, Jérémy E., et al.. (2016). Exploring Multimodal Data Fusion Through Joint Decompositions with Flexible Couplings. IEEE Transactions on Signal Processing. 64(18). 4830–4844. 38 indexed citations

15.

Cohen, Jérémy E., et al.. (2016). Joint tensor compression for coupled canonical polyadic decompositions. 2285–2289. 3 indexed citations

16.

Veganzones, Miguel A., et al.. (2015). Nonnegative Tensor CP Decomposition of Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing. 54(5). 2577–2588. 80 indexed citations

17.

Cohen, Jérémy E., Pierre Comon, & Xavier Luciani. (2015). Correcting inner filter effects, a non multilinear tensor decomposition method. Chemometrics and Intelligent Laboratory Systems. 150. 29–40. 10 indexed citations

18.

Veganzones, Miguel A., et al.. (2015). Compression-based nonnegative tensor CP decomposition of hyperspectral big data. 2 indexed citations

19.

Cohen, Jérémy E., et al.. (2014). Fast Decomposition of Large Nonnegative Tensors. IEEE Signal Processing Letters. 22(7). 862–866. 29 indexed citations

20.

Vollmerhausen, Richard H., et al.. (2002). Recent improvements in modeling time limited search. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4719. 42–42. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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